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valuecell

Python ★ 11k updated 3mo ago

ValueCell is a community-driven, multi-agent platform for financial applications.

A multi-agent AI platform for financial research and automated crypto trading, with specialized agents for stock analysis, news tracking, and strategy execution across Binance, OKX, and other major exchanges.

Pythonsetup: easycomplexity 3/5

ValueCell is a platform that uses multiple AI agents to help with financial research and trading. The project describes itself as community-driven and aims to build a decentralized community of financial agents. It supports stock research, market analysis, news tracking, and automated trading across several markets and cryptocurrency exchanges.

The platform is built around a set of specialized agents. A research agent retrieves and analyzes company documents to produce summaries and data insights. A strategy agent handles automated trading across crypto assets using user-defined strategies. A news agent delivers scheduled updates on topics the user wants to track. The system is designed so that sensitive information such as API keys stays stored locally on the device and is not sent to third-party servers.

For trading, ValueCell connects to major cryptocurrency exchanges including Binance, OKX, and Hyperliquid, with partial support for Coinbase, Gate.io, and MEXC. The README notes that it currently supports contract (futures/leverage) trading only, not spot trading, and advises users to keep their API credentials secure and rotate them regularly. A clear risk warning is included: the project team says they will never proactively contact community members, and the software is for technical exchange only since investing involves risk.

New users can download a desktop application for macOS or Windows from the GitHub releases page. Configuration involves adding an AI model provider API key and exchange credentials through a web interface. Multiple AI model providers are supported, including OpenAI, Google, DeepSeek, Azure, and others. For users who do not want to run the software locally, the team also offers a hosted version at valuecell.ai focused on Chinese A-share market research.

The README is written in English and also has translated versions in Simplified Chinese, Traditional Chinese, and Japanese.

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